TRB Pubsindex
Text Size:

Title:

Assessment of User Benefits in Presence of Random Taste Heterogeneity: Comparison of Parametric and Nonparametric Models

Accession Number:

01128812

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/Travel_...nd_Forecasting_2009_Volume_1_162864.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309142632

Abstract:

The ultimate objective of most practical transport modeling is the evaluation of the economic impacts of alternative policy measures. During the past decade, significant advances have been made in the ability of operational models to accommodate flexible patterns of taste heterogeneity. The majority of applications use parametric distributions in which the parameters of the distribution are specified a priori. However, in reality individual tastes rarely follow a standard distribution, especially in the extremes of the distribution in which behavior is likely to differ substantially from that of the rest of the population. The major problem in these cases is the suitability of estimated models for determining economic welfare because they may yield erroneous or counterintuitive results. Recent research proposes using nonparametric models to capture randomness in individuals’ tastes, in which the shape of the unknown distribution is defined as part of the estimation process. But there is still no evidence regarding the implication of using these more advanced model structures for determining economic welfare. The aim of this paper is to investigate to what extent imposing a well-shaped distribution of individual tastes affects the appraisal of transport policy measures. In particular the focus is on random taste heterogeneity. With the use of simulated data, an investigation is done on how parametric and nonparametric models perform under different assumptions for true taste distributions. Finally, implications of the accuracy of alternative methods of computing benefit measures are critically analyzed.

Monograph Accession #:

01147879

Report/Paper Numbers:

09-2505

Language:

English

Authors:

Cherchi, Elisabetta
Cirillo, Cinzia
Polak, John W

Pagination:

pp 78-86

Publication Date:

2009

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2132
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309142632

Media Type:

Print

Features:

Figures (1) ; References (25) ; Tables (5)

Uncontrolled Terms:

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 30 2009 6:52PM

More Articles from this Serial Issue: